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Freelance Cloud Computing Trainer Jobs (NOW HIRING)

Umass Memorial Health

Senior Cloud Engineer

Worcester, MA · On-site

$55.75 - $74.25/hr

This role requires a strong understanding of cloud computing technologies, excellent problem ... training purposes. 14. Designs and implements disaster recovery plans for disasters and backup and ...

New

Power3 Solutions

Cloud Systems Architect L3

Annapolis, MD · On-site

$200K - $250K/yr

Supports PAC hybrid computing efforts by providing recommendations and advice regarding the design ... Tuition/Training, up to $5250 annually for pre-approved education * Company-paid events, including ...

The State of Arizona

Cloud Solutions Architect

Phoenix, AZ · Remote

$110K - $120K/yr

... providing training, approving leave requests, and preparing evaluations). Develop and organize ... Cloud computing technologies and current computing trends Technical expertise in the Azure cloud ...

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How much do freelance cloud computing trainer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for freelance cloud computing trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.
What cities are hiring for Freelance Cloud Computing Trainer jobs? Cities with the most Freelance Cloud Computing Trainer job openings:
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Freelance Cloud Computing Trainer jobs near you
Infographic showing various Freelance Cloud Computing Trainer job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

RDMA Ops Engineer - Computing Infrastructure Networking-Sunnyvale

Alibaba Cloud

Sunnyvale, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Alibaba Cloud is seeking a skilled RDMA Ops Engineer to optimize and maintain high-performance networking infrastructure for their computing clusters. The role focuses on building and operating ultra-low latency, high-throughput networks using RDMA technologies to support next-generation computing workloads.
Responsibilities:
• Deploy, operate and maintain RDMA-based network architectures (RoCE/InfiniBand) for cluster with thousands of nodes
• Optimize network performance for distributed collective communication workloads (NCCL, MPI, etc.)
• Solve complex network issues in distributed collective communication (e.g., NCCL/MPI communication bottlenecks)
• Use automation tools for network provisioning, monitoring, diagnostics，and network performance profiling (latency/throughput analysis)
• Implement CI/CD pipelines for network infrastructure-as-code
• Manage end-to-end network lifecycle: deployment, configuration, monitoring, upgrades
• Collaborate with computing algorithm engineers to troubleshoot network-related bottlenecks in training/inference pipelines
• Bridge Computing framework requirements with underlying network infrastructure capabilities
• Ensure compliance with security and scalability requirements
Qualifications:
Required:
• Strong scripting skills (Python/Go/Bash) for operational automation
• Expert-level RDMA operational experience (RoCEv2/InfiniBand)
• Understanding of Linux internals (kernel bypass, syscall optimization, etc) and proficient in Linux network stack tuning (irqbalance, NUMA, hugepages)
• Hands-on experience with RDMA/DPDK performance tuning
• Strong knowledge of network protocols (TCP/IP, RoCEv2) and NIC architecture principles
• Ability to abstract complex technical concepts into architectural diagrams
• Proven track record of translating R&D innovations into production solutions
• Strong communication skills for cross-functional collaboration with Computing researchers and SRE teams
Preferred:
• Have experience on managing production Computing networks
• Familiar with Kubernetes networking (CNI, Multus, SR-IOV) and GPU-aware scheduling
• Background in Computing system optimization (NVIDIA collective libraries, MPI tuning)
• Deep understanding of Computing workload patterns and their network implications
Company:
Alibaba Cloud develops cloud computing and data management services. It is a sub-organization of Alibaba Group. Founded in 2009, the company is headquartered in Hangzhou, CHN, with a team of 10001+ employees. The company is currently Late Stage.

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